Background: The paper proposes a positioning algorithm of sensor nodes based on node hop
count and Kernel Method.
Methods: The algorithm uses kernel method to map the number of nodes to the high dimensional
feature space to construct the relationship between the number of hops and the real distance, which
builds the model of measuring distance and physical distance model.
Results: The experiments demonstrate that the proposed HK algorithm achieves satisfactory results and
is rarely influenced by the number of beacon nodes and occlusions. Furthermore, the proposed
algorithm can be adapted to various network topologies with high robustness.